Abstract: A system and method for classifying data objects for data security posture management (DSPM) in a cloud computing environment based on metadata are presented. The method includes detecting data objects in data sources of the cloud computing environment, wherein each data object in the data objects comprises metadata; generating metadata-derived features from the metadata, wherein the metadata-derived features include hierarchy and path features; clustering the data objects into data clusters based on a similarity determination applied to the metadata-derived features; generating, for a first data cluster of the data clusters, an aggregated cluster representation and a corresponding prompt based on metadata associated with data objects in the first data cluster; generating a cluster classification for the first data cluster based on a result of processing the corresponding prompt with a language model; and generating data findings based on the cluster classification and classification results.

Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.

Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.

Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.